/******************************************************************************* * Copyright 2018-2019 Intel Corporation * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *******************************************************************************/ #ifndef GEMM_UTILS_F32_HPP #define GEMM_UTILS_F32_HPP namespace mkldnn { namespace impl { namespace cpu { namespace gemm_utils { // Alias for any dimension related variable. typedef ptrdiff_t dim_t; template struct gemm_traits {}; template struct gemm_traits { static constexpr int m = 8; static constexpr int n = 6; static constexpr int BM = 4032; static constexpr int BN = isTransA ? 96 : 192; static constexpr int BK = isTransB ? 96 : 512; }; template struct gemm_traits { static constexpr int m = 16; static constexpr int n = 6; static constexpr int BM = 4032; static constexpr int BN = isTransA ? 96 : 48; static constexpr int BK = isTransB ? 96 : 256; }; template using unroll_factor = gemm_traits; template void sum_two_matrices(int m, int n, data_t * __restrict p_src, dim_t ld_src, data_t * __restrict p_dst, dim_t ld_dst); void calc_nthr_nocopy_avx512_common(int m, int n, int k, int nthrs, int *nthrs_m, int *nthrs_n, int *nthrs_k, int *BM, int *BN, int *BK); void calc_nthr_nocopy_avx(int m, int n, int k, int nthrs, int *nthrs_m, int *nthrs_n, int *nthrs_k, int *BM, int *BN, int *BK); void partition_unit_diff( int ithr, int nthr, int n, int *t_offset, int *t_block); }; } } } #endif // GEMM_UTILS_F32_HPP